Overview
ABSTRACT
Precision agriculture is a scientific discipline whose objective is to measure, describe, analyse and understand the spatial and temporal variability - yield, water status, vegetation condition, plant nutritional requirements, soil physico-chemical parameters... - in agricultural production systems. This paper will provide an opportunity to review the foundations of this discipline before looking at how the knowledge generated is operationally exploited in the field, with the main objectives of improving resource efficiency, productivity, quality, profitability and sustainability of agricultural production.
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Corentin LEROUX: Engineer and researcher in precision agriculture, - Founder of Aspexit, Montpellier, France
INTRODUCTION
The United Nations estimates that the world's population could reach 9.8 billion by 2050 and 11.2 billion by 2100. If these projections hold true, global food demand is bound to increase significantly. Even if food security is partly a distribution problem, it would be a shame not to also encourage increased food production, as no single approach will be fully effective in combating food insecurity. This is a colossal challenge, since the agricultural sector has to cope with this growing demand for food while taking into account critical societal and environmental issues (water scarcity, loss of biodiversity, land degradation...) and being economically viable in the long term. Ecologically intensive agriculture has been a response to all these challenges. Although some criticize the two adjectives for being incompatible, ecologically intensive agriculture seeks to increase food production while limiting environmental pressures. In simpler terms, ecologically intensive approaches aim to produce "more" with "less". Precision agriculture, a scientific discipline that seeks to better measure, quantify, describe and understand the variabilities inherent in production systems, using information and communication technologies (ICT), could help move in this direction. Here's a critical look at a discipline that has the wind in its sails and is still making waves.
Key points
Field: Measurement and analysis
Degree of technology diffusion: Emergence
Technologies involved: Digital technologies, modeling, decision support tools
Areas of application: Farm management
Main French players :
– Competence centers: INRAE, Bordeaux Sciences Agro, Montpellier SupAgro, La Salle Beauvais, AgroSup Dijon
Contact: http://www.aspexit.com
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KEYWORDS
modeling | agronomical expertise | Decision Support System | Spatial and temporal variabilities
Precision agriculture
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